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西西里岛降水数据中的Tsallis统计指纹

Tsallis -Statistics Fingerprints in Precipitation Data across Sicily.

作者信息

Pecorino Vera, Pluchino Alessandro, Rapisarda Andrea

机构信息

Dipartimento di Fisica e Astronomia "Ettore Majorana", Università di Catania, 95123 Catania, Italy.

INFN Sezione di Catania, 95123 Catania, Italy.

出版信息

Entropy (Basel). 2024 Jul 24;26(8):623. doi: 10.3390/e26080623.

DOI:10.3390/e26080623
PMID:39202093
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11353304/
Abstract

Precipitation patterns are critical for understanding the hydrological and climatological dynamics of any region. Sicily, the largest island in the Mediterranean sea, with its diverse topography and climatic conditions, serves as an ideal case study for analyzing precipitation data, to gain insights into regional water resources, agricultural productivity, and climate change impacts. This paper employs advanced statistical physics methods, particularly Tsallis -statistics, to analyze sub-hourly precipitation data from 2002 to 2023, provided by the Sicilian Agrometeorological Informative System (SIAS). We investigate several critical variables related to rainfall events, including duration, depth, maximum record, and inter-event time. The study spans two decades (2002-2012 and 2013-2023), analyzing the distributions of relevant variables. Additionally, we examine the simple returns of these variables to identify significant temporal changes, fitting these returns with q-Gaussian distributions. Our findings reveal the scale-invariant nature of precipitation events, the presence of long-range interactions, and memory effects, characteristic of complex environmental processes.

摘要

降水模式对于理解任何地区的水文和气候动态至关重要。西西里岛是地中海最大的岛屿，拥有多样的地形和气候条件，是分析降水数据的理想案例研究对象，有助于深入了解区域水资源、农业生产力和气候变化影响。本文采用先进的统计物理方法，特别是Tsallis统计，来分析西西里农业气象信息系统（SIAS）提供的2002年至2023年的亚小时降水数据。我们研究了与降雨事件相关的几个关键变量，包括持续时间、深度、最大记录和事件间隔时间。该研究跨越二十年（2002 - 2012年和2013 - 2023年），分析相关变量的分布。此外，我们检查这些变量的简单收益率以识别显著的时间变化，并用q-高斯分布拟合这些收益率。我们的研究结果揭示了降水事件的尺度不变性、长程相互作用的存在以及记忆效应，这些都是复杂环境过程的特征。

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5
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Proc Natl Acad Sci U S A. 2005 Jun 28;102(26):9424-8. doi: 10.1073/pnas.0502613102. Epub 2005 Jun 24.